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/*
 * IRremoteESP8266: IRServer - demonstrates sending IR codes controlled from a webserver
*
 * An IR LED circuit *MUST* be connected to the ESP on a pin
 * as specified by kIrLed below.
 *
 * TL;DR: The IR LED needs to be driven by a transistor for a good result.
 *
 * Suggested circuit:
 *     https://github.com/crankyoldgit/IRremoteESP8266/wiki#ir-sending

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#include "ESP8266WiFi.h"
#include<ESP8266HTTPClient.h>
#include "DHT.h"

const char* ssid = "XXXXX";
const char* password = "XXXXXXX";

char server[] = "<<Your trial server URL>>";
char appKey[] = "<<Your Application keys>>";

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author: mongoose-os
description: A Mongoose OS app skeleton
version: 1.0

libs_version: ${mos.version}
modules_version: ${mos.version}
mongoose_os_version: ${mos.version}

# Optional. List of tags for online search.
tags:

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// Load Mongoose OS API
load('api_timer.js');
load('api_uart.js');
load('api_sys.js');
load('api_gpio.js');
// Uart number used for this example
let uartNo = 0;
// Accumulated Rx data, will be echoed back to Tx
let rxAcc = "";
let pin=16;

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int id=99;
#include <SoftwareSerial.h>
String a;
SoftwareSerial sw(2, 3); // RX, TX

void setup() {
 Serial.begin(115200);
 Serial.println("Interfacing arduino with nodemcu");
 sw.begin(115200);
}

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(x, y) = np.where(mask == 255)
(topx, topy) = (np.min(x), np.min(y))
(bottomx, bottomy) = (np.max(x), np.max(y))
Cropped = gray[topx:bottomx+1, topy:bottomy+1]

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# find contours in the edged image, keep only the largest
# ones, and initialize our screen contour
cnts = cv2.findContours(edged.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
cnts = imutils.grab_contours(cnts)
cnts = sorted(cnts, key = cv2.contourArea, reverse = True)[:10]
screenCnt = None
# loop over our contours
for c in cnts:
    # approximate the contour
    peri = cv2.arcLength(c, True)

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img = cv2.imread('4.jpg',cv2.IMREAD_COLOR)
img = cv2.resize(img, (620,480) )
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
gray = cv2.bilateralFilter(gray, 11, 17, 17) 
edged = cv2.Canny(gray, 30, 200) 

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import cv2
import imutils
import numpy as np
import pytesseract
from PIL import Image

img = cv2.imread('4.jpg',cv2.IMREAD_COLOR)

img = cv2.resize(img, (620,480) )

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/*
  ===========================================
       Copyright (c) 2018 Stefan Kremser
              github.com/spacehuhn
  ===========================================
*/

// ===== Settings ===== //
const uint8_t channels[] = {1, 6, 11}; // used Wi-Fi channels (available: 1-14)
const bool wpa2 = false; // WPA2 networks